A Study On The Plasticity And Fracture Behaviors Of Inconel 718 Under Multiaxial Stress And Extremely Low Cycle Fatigue Loadings

Engineering materials and structures are usually subjected to multiaxial stress states loading due to geometrical effects, residual stresses, or multi-directional loading. Ductile fracture and Extremely Low Cycle Fatigue (ELCF), less than 100 cycles to fail, are two common and co-exist failure modes in many engineering structures. However, the linkage between these two failure modes under multi-axial loading conditions has never been systematically studied. This research summarizes an extensive work of experimental and numerical studies of ductile fracture and ELCF under different stress states for nickel-base superalloy material IN718 under room temperature. Specially designed specimens and tests were used to achieve desired multi-axial loading conditions. Four types of specimens with four different shapes, total of 16 specimens, were tested until complete fracture. Two groups of tests were conducted: (a) round bar specimens with different notches; (b) plane strain specimens. Experimental data of force-displacement curves and strain-life graph were plotted for analysis. The first part of this research focuses on a numerical study of monotonic tensile loading with different stress states. This part of the investigation deeply studies the dependency of the hydrostatic stress (related to stress triaxiality) and the normalized third invariant of the deviatoric stress (related to Lode angle parameter) in plastic behavior and ductile fracture. Constitutive plasticity model proposed by Bai & Wierzbicki and the modified Mohr-Coulomb (MMC) ductile fracture model were adapted with several extensions. The plasticity model and ductile fracture criterion were implemented into ABAQUS through a user-defined material subroutine (VUMAT). Extensive experimental results are used to calibrate the models. After setting up the parameter optimization during model calibration, the experimental results and numerical simulations were well correlated in both plasticity deformation and fracture initiation. A 3D fracture locus of Inconel 718 was constructed by knowing the strain at fracture, stress triaxiality, and normalized Lode angle of the tested samples. By introducing a suitable element post-failure behavior, not only the fracture initiation but also the fracture propagation modes are successfully predicted in finite element simulations for monotonic loading. The second part extensively investigates ELCF on IN718. The IN718 cyclic plasticity behavior and the Bauschinger effect are studied and simulated using the well-known nonlinear kinematic hardening law by J. L. Chaboche and his co-workers under different strain amplitudes and different stress states. Moreover, the Voce isotropic hardening law was applied in combination with the Bai-Wierzbicki plasticity model. The Bai-Wierzbicki plasticity model was used to capture the effect of different stress states on ELCF based on the stress triaxiality and Lode angle parameters. On the other hand, the modified Mohr–Coulomb (MMC) ductile fracture model for monotonic loading was extended by a new damage evolution rule to cover the ELCF regime. A new parameter was introduced to represent the effect of the cyclic loading at ELCF. The new parameter is responsible for capturing the change of non-proportional loading direction between the current stress and the backstress tensors. The model explores the underlying damage and fracture mechanisms through the equivalent plastic strain evolution under cycling loading. Finally, the mechanism linkage between these two failure modes was studied. A comparison between the experimental data and the finite element simulation results (by Abaqus/Explicit) shows very good correlations. In addition, fractographic examinations, analysis, and finite element simulations are presented

The Antimicrobial Resistance Plasmid Mobilome of Salmonella enterica and Related Enteric Species and Factors that Influence the Transfer Efficiency.

The dynamic distribution of antimicrobial resistance genes in Salmonella enterica is considered a public health risk. S. enterica is one of the most important etiological agents of foodborne illness and has a critical impact on global human health. In S. enterica and related species, mobile genetic elements (MGEs) serve as primary vehicles for the dissemination of antibiotic resistance genes in the bacterial evolution. This dissemination can be impacted by different selective pressures that leads to diverse antibiotic response phenotypes. This project focusses on the dynamics of antimicrobial resistance genes, particularly exploring the transfer efficiency of multidrug resistance plasmids in S. enterica using a combination of in silico and in vitro techniques. Plasmid physiology is part of an essential genetic engineering tool has mediated the dynamic transfer and spread of antimicrobial resistance in Salmonella isolates. Several phenotypic and molecular techniques were selected in these studies to better understand the molecular biology and epidemiology of resistance plasmids. These methods included whole genome sequencing (WGS) analyses, replicon (incompatibility; Inc) typing and conjugation studies of plasmids from S. enterica and related species. Multiple in silico analyses were used to evaluate WGS and plasmid sequencing data to examine the distribution of MGEs, AMR, biocide, disinfectant, and heavy metal resistance genes across the different plasmid types and to develop a plasmid characterization database. The database supported the development of the computational algorithms to process the WGS data from S. enterica isolates and is very useful for identifying the plasmid Inc types and their specific conjugal transfer systems, which are valuable to study the diversity and dissemination of plasmids associated with AMR in S. enterica and other Enterobacteriaceae. In vitro studies explored the impact of different antimicrobial exposures on conjugal transfer potential of plasmids. For some S. enterica strains, exposure to different concentrations of tetracycline or chloramphenicol led to differences in the efficiency of AMR plasmid transfer. These data help to better understand the distribution of resistance genes and provide a useful method for a comprehensive molecular studies of plasmid transfer dynamics. The impact of these findings clarifies the role of the conjugation dynamics in the dissemination of antimicrobial resistance in S. enterica and related species, which can potentially impact the transfer of resistance genes within the gastrointestinal microbiome. Further studies are required to identify the underlying genetic mechanisms for Salmonella resistance plasmid transfer using approaches like RNA-sequencing methods to extend the understanding of the regulation of genetic pathways during conjugal transfer. Overall, the research study expands our knowledge of plasmid transfer dynamic and the provides tools that can be used to better understand AMR gene transfer among Salmonella enterica isolates which can have an impact in clinical and diagnostic laboratories as well as in epidemiological surveillance

HOW NON-CURRICULAR ARTS ARE USED TO STRENGTHEN THE SOCIAL STATUS OF ENGINEERS

The paper discusses the concept of using non-curricular arts to strengthen the social status of engineers by expanding skillset and perception, building bridges, and connections. While there's no definitive answer of how non-curricular arts are used to strengthen the social status of engineers, the study presents some artistic ways of engagement that can impact engineers' social standing by demonstrating creativity and innovation, communication and storytelling, collaboration, and empathy. The study shows that the impact of non-curricular arts on engineers' social status depends on individual engagement, societal context, and how the artistic pursuit is perceived. While not a guaranteed formula, actively engaging in diverse artistic mediums can certainly contribute to a more well-rounded, respected, and connected image of engineers within society. Finally, the paper presents a comprehensive overview of how non-curricular arts can potentially influence the social status of engineer

Information Security Policy for E-government in Saudi Arabia: Effectiveness, Vulnerabilities and Threats

This study focuses on the issue of information security policy for e-government in Saudi Arabia. It evaluates the three fundamental pillars that determine data security such as effectiveness, vulnerabilities, and threats. The paper is seeking to reveal the risks of information security policy for e-government in Saudi Arabia as well as to examine the vulnerabilities and the effectiveness of the system. The methodology applied inductive approach where both qualitative and quantitative research method were used. A survey by use of questionnaires and an interview was conducted

pH Responsive Hydrogen Bonding Motif to Improve the Sensitivity of Tumor Imaging

Magnetic resonance imaging (MRI) is a powerful non-invasive medical diagnostic technique. Superparamagnetic iron oxide nanoparticles (SPIO) are effective contrast agents and provide high sensitivity contrast in MRI. Recent research has demonstrated that nanoparticle clusters exhibit significantly higher relaxivity than individual nanoparticles. In order to increase the sensitivity of tumor imaging, supramolecular chemistry was introduced to this field and a novel conjugation method was developed using click chemistry between azide functionalized nanoparticles and pH-sensitive hydrogen bonding building blocks. This pH-sensitive hydrogen bonded complex was synthesized to cluster nanoparticles under mildly acidic biological conditions. Due to the unexpected X-ray crystal structure of the acceptor molecule, erroneous results were obtained. An association constant (Ka) was determined via 1H NMR titration of a similar hydrogen bonding system and the resulting value of 194 M-1 in DMSO. This result indicates the potential feasibility of this project. The synthesis, characterization, and tests of functionalized SPIO and monomers are reported

A comprehensive review of the healthy worker effect in occupational epidemiological studies

The reduction of mortality and morbidity rates among occupational cohort studies may be attributed to the presence of the healthy worker effect (HWE). Occupational epidemiologic studies investigating worker’s health are prone to the risk of having the HWE phenomenon and this special form of bias has been debated over the years. Hence, it’s imperative to explore in-depth the magnitude and sources of HWE, and further, elucidate the factors that may affect HWE and strategies reducing HWE. The HWE should be considered as a mixed bias between selection and confounding bias. The validity threats due to the HWE among morbidity studies are the same as the mortality studies. The consequent reduction due to the HWE in the association between the exposure and outcome may lead to underestimating some harmful exposures in the workplace or occupational settings. Healthy hire effect and healthy worker survivor effect are the main sources of HWE. Several factors can increase or decrease the probability of HWE; therefore, the investigators should consider them among future occupational epidemiological studies. Many strategies can help in reducing the impact of HWE, but each strategy has its weaknesses and strengths. Not all strategies can be applied among all occupational epidemiological studies. Mathematical procedures still need further investigations to be validated. HWE is a consequence of inappropriate comparison groups in nature. The usage of the general population as a reference group is not an appropriate choice. By considering the HWE sources and factors and using appropriate strategies, the impact of HWE may be reduced